CiteScore:
3.42ℹCiteScore:2017: 3.420CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. 2015) to documents published in three previous calendar years (e.g. 2012 – 14), divided by the number of documents in these three previous years (e.g. 2012 – 14).

Impact Factor:
3.129ℹImpact Factor:2017: 3.129The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
2018 Journal Citation Reports (Clarivate Analytics, 2019)

5-Year Impact Factor:
3.682ℹFive-Year Impact Factor:2017: 3.682To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years.
2018 Journal Citation Reports (Clarivate Analytics, 2019)

Source Normalized Impact per Paper (SNIP):
1.693ℹSource Normalized Impact per Paper (SNIP):2017: 1.693SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR):
1.380ℹSCImago Journal Rank (SJR):2017: 1.380SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Author StatsℹAuthor Stats:Publishing your article with us has many benefits, such as having access to a personal dashboard: citation and usage data on your publications in one place. This free service is available to anyone who has published and whose publication is in Scopus.

The importance of knowledge in creating value, driving productivity and promoting economic growth has long been recognized (e.g. OECD, 1996). Accompanying this recognition of the central role of knowledge in today’s economies has been an added focus on information, technology and learning (ibid.), and the “accelerated pace of technical and scientific advance” (Powell & Snellman, 2004) that results therefrom. Closely connected to these developments has been the advent of “big data”; and as information becomes available at greater volumes and higher speed, the focus is shifting from quantity to the quality of the information collected and the manner in which it is used (Marr, 2015).

In this respect, Multiple Criteria Decision Analysis (MCDA) may have a lot to contribute. MCDA techniques constitute valuable tools for structuring and evaluating complex decision situations, and can allow for more informed, potentially better decisions. MCDA techniques are able to build on the knowledge of expert participants in a given field, and produce assessment systems based on values and experience.

Constructivist in nature, this approach has grown exponentially over the past few decades, causing a change in the decision-making arena in general, and in the field of decision support systems (DSS) in particular. The objective of this special issue is to bring together recent developments and methodological contributions within MCDA, with the challenges which characterize the knowledge-based economy, as they pertain to the themes of technological forecasting & social change. We are interested in real-world applications of MCDA, including topics such as:

Collaborative decision making

MCDA applications for policy making

Decision models for competitive gains

Decision support and strategic planning

Information aggregation and use

Mental models and cognitive mapping

Performance measurement system design and development

Soft systems for complex problems

Systems thinking and business dynamics

Value-focused thinking

Important Dates:

Submission of the Full Paper: 30 January 2017

Double blind review outcome: 30 March 2017

Deadline for resubmission: 30 April 2017

Tentative date for completing the second review cycle: 30 May 2017

Final submission: 30 June 2017

Contacts and Notes:

Papers should be original, unpublished, and not currently under consideration for publication elsewhere. Before submitting manuscripts authors are advised to ensure that they have conformed to the requirements detailed in the instructions to authors that can be found on the journal homepage. Manuscripts which are incorrectly formatted or do not contain all the required elements may be returned to authors for correction prior to review. Prospective contributors are invited to informally discuss their proposed paper with the Guest Editors prior to submission. Other inquiries should be sent directly to Professor João Ferreira (jjmf@ubi.pt) clearly indicating in the subject “Special issue in Technology Forecasting and Social Change”.